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All models were adjusted for the effects of gender, age, education, marital status, family income, self-rated health and visible minority status. The binomial outcome of ��eating at least 5 fruits or vegetables�� is modelled using multilevel logistic regression with random intercept using PROC GLIMMIX in SAS 9.3. Results Participants in Project NEHW were 53% female and 44% visible minority, with a mean age of 44?years (table 1) and a mean after-tax family income of $91?330 (median=$71?000). The proportion of those having at least five VFI per day differed significantly by gender, age, education, employment selleck chemicals llc status, marital status and income in bivariate analysis (pBiperiden HCl self-rated health, marital status, visible minority status and family income. For models where we disregarded time spent at home, no significant associations were found between the food environment and VFI. This was true for food store density measured at scales of both 10?min and 15?min walking distances (see table 2��model 1a and 1b). Next, we conducted subgroup analyses where we divided the full sample of participants into three equal groups with different amounts of time spent at home (low, medium and high). For individuals who spent the least amount of time at home (models 2a and 2b), no significant associations were found between the food environment variables and VFI. Table?2 Multilevel logistic regression to examine the association between food environment (10 and 15?min walking distance network buffers) and the odds of eating five vegetables and fruits per day adjusting for gender, age, education, self-rated health, ... For individuals who spent a medium amount of time at home, model results differed by buffer size. At the 10?min buffer, residents with zero less healthy food stores compared to those with three or more, had 38% increased odds (pselleck to those with zero, had 36% increased odds (p